Proceedings ArticleDOI
Satellite Data Based Impact Assessment of Basin Characteristics for Brahmaputra River System of India
Nayan Sharma,Parwez Akhtar,Belay Zeleke +2 more
- pp 3792-3802
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The article was published on 2011-05-19. It has received 2 citations till now. The article focuses on the topics: Impact assessment.read more
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Seasonal Cropping Pattern Extraction Using NDVI from IRS LISS-III Image of Kangsabati Commanded Area
Sheak Hasim,Kalyan Kumar Bhar +1 more
TL;DR: This study suggest that this approach will be effective with an acceptable accuracy for crop map generation to classify the different crops and thereby calculate the actual crop water demand of commanded area of Kangsabati reservoir and thereby evaluate the performance of the canal system in near future.
Journal ArticleDOI
Detecting the Planform Changes Due to the Seasonal Flow Fluctuation and 2012 Severe Flood in the Amazon River near Iquitos City, Peru Based on Remote Sensing Image Analysis
Karen Garcia Angulo,Kwan Tun Lee +1 more
TL;DR: In this article , the authors investigated the Muyuy anabranching planform change of the Upper Peruvian Amazon River due to the seasonal flow fluctuations and a severe flood in 2012.
References
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Book
Introductory Digital Image Processing: A Remote Sensing Perspective
TL;DR: Introductory Digital Image Processing: A Remote Sensing Perspective focuses on digital image processing of aircraft- and satellite-derived, remotely sensed data for Earth resource management applications.
Journal ArticleDOI
Review Article Digital change detection techniques using remotely-sensed data
TL;DR: An evaluation of results indicates that various procedures of change detection produce different maps of change even in the same environment.
Journal ArticleDOI
The impact of misregistration on change detection
TL;DR: High levels of registration are needed for reliable monitoring of global change in the absence of any actual changes to the land surface, using spatially degraded Landsat MSS images.
Journal ArticleDOI
The effects of image misregistration on the accuracy of remotely sensed change detection
Xiaolong Dai,Siamak Khorram +1 more
TL;DR: The results from false change analysis indicate a substantial degradation in the accuracy of remotely sensed change detection due to misregistration, and it is shown that a registration accuracy of less than one-fifth of a pixel is required to achieve a change detection error ofLess than 10%.
Book
Remote Sensing Change Detection: Environmental Monitoring Methods and Applications
TL;DR: A survey of multispectral methods for land cover change analysis can be found in this article, where the authors present an evaluation of the CoastWatch change detection protocol in South Carolina.